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Calculate platforms' issue-area emphasis scores

process_platform_emphasis.Rd

process_platform_emphasis() takes a tibble of platforms, splits each platform into sentences, and calculates issue-area emphasis scores for each sentence and for the platform as a whole using the ManifestoBERTA model. These issue-area emphasis scores, respectively, represent the probability that each sentence is discussing each issue-area and the proportion of the platform that is devoted to each issue-area.

Usage

process_platform_emphasis(tibble, cleaning = TRUE)

Arguments

tibble

Tibble. One row per platform, containing, at minimum:

  • text: Character column. The full text of each platform.

cleaning

Logical. Whether to apply basic text cleaning before processing each platform. Defaults to TRUE.

Value

Tibble. The input tibble with two additional list columns (if a platform cannot be processed due to a lack of text, the function will return an empty list for that platform):

  • sentence_emphasis_scores: List column. A list per sentence in the platform (in order), containing:

    • sentence: Character. The sentence.

    • scores: Tibble. The sentence's emphasis score on each issue-area, containing:

      • issue: Character column. The issue-area name.

      • score: Numeric column. The sentence's score for that issue-area (summing to 1).

    • overall_emphasis_scores: List column. A tibble with the platform's overall emphasis scores, containing:

      • issue: Character column. The issue-area name.

      • score: Numeric column. The platform's score for that issue-area.

Examples

if (FALSE) { # interactive()
tibble <- minorparties::sample_data
processed_tibble <- process_platform_emphasis(tibble)
}